
About Me
’m a data science generalist who turns raw, messy tables into decisions that move the needle.
Tooling: Python pandas, scikit learn, TensorFlow, SQL, BigQuery, Looker Studio, Streamlit.
Breadth: end to end—scraping, cleaning, EDA, modelling, deployment, storytelling.
Depth: speciality in regression, causal inference, time series forecasting and pricing optimisation.
Track record: 25+ freelance projects, 40 k row ticket pricing study panel model, churn reduction model that saved an e commerce client ₹18 L in 3 months.
Style: code is open sourced, notebooks are commented like blog posts, deliverables arrive before the deadline.
Current mission: pick up bite sized remote gigs to keep sharpening ML skills while helping clients see value in < 48 h.
When I’m not knee deep in Jupyter, you’ll find me on Kaggle discussions or hosting weekend Pandas for Beginners” rooms on Twitter Spaces.
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